Probabilistic modeling for long-term fatigue reliability of wind turbines based on Markov model and subset simulation
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,General Materials Science,Modeling and Simulation
Reference61 articles.
1. Fatigue reliability of wind turbines: historical perspectives, recent developments and future prospects;Liao;Renew Energy,2022
2. Current trend in offshore wind energy sector and material requirements for fatigue resistance improvement in large wind turbine support structures – A review;Igwemezie;Renew Sustain Energy Rev,2019
3. Stress-cycle fatigue design with Kriging applied to offshore wind turbines;Teixeira;Int J Fatigue,2019
4. Effects of microstructure on rolling contact fatigue of a wind turbine gear based on crystal plasticity modeling;Wang;Int J Fatigue,2019
5. A review of fatigue damage assessment in offshore wind turbine support structure;Haselibozchaloee;Int J Fatigue,2022
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Probabilistic model for fatigue damage estimation of wind turbines with hidden markov model and neural network;Ocean Engineering;2024-10
2. A Markov method for a mechanical system reliability assessment using discrete degradation data;Journal of Physics: Conference Series;2024-08-01
3. Continuous-Time Markov Processes for Reliability Analysis: A Comprehensive Study;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16
4. Research on the Effect of Aerodynamic Imbalance on Fatigue Performance of a Wind Turbine Foundation with Embedded Steel Ring;Buildings;2024-04-18
5. Gradual change of vibration characteristics of steel truss structure;Applied Mathematics and Nonlinear Sciences;2024-01-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3